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Metabolic risk is associated with sociodemographic characteristics in adolescents from both rural and urban regions from southern Brazil

BACKGROUND: The prevalence of several cardiovascular metabolic disorders are increasingly cause for concern in adolescents worldwide. Given the complex interrelations between metabolic risk (MR) and sociodemographic variables, the present study aims to examine the association between the presence of...

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Autores principales: de Souza, Sonimar, Francisco de Castro Silveira, João, Marques, Kelin Cristina, Gaya, Anelise Reis, Franke, Silvia Isabel Rech, Renner, Jane Dagmar Pollo, Hobkirk, James Philip, Carroll, Sean, Reuter, Cézane Priscila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161605/
https://www.ncbi.nlm.nih.gov/pubmed/35655186
http://dx.doi.org/10.1186/s12887-022-03386-z
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author de Souza, Sonimar
Francisco de Castro Silveira, João
Marques, Kelin Cristina
Gaya, Anelise Reis
Franke, Silvia Isabel Rech
Renner, Jane Dagmar Pollo
Hobkirk, James Philip
Carroll, Sean
Reuter, Cézane Priscila
author_facet de Souza, Sonimar
Francisco de Castro Silveira, João
Marques, Kelin Cristina
Gaya, Anelise Reis
Franke, Silvia Isabel Rech
Renner, Jane Dagmar Pollo
Hobkirk, James Philip
Carroll, Sean
Reuter, Cézane Priscila
author_sort de Souza, Sonimar
collection PubMed
description BACKGROUND: The prevalence of several cardiovascular metabolic disorders are increasingly cause for concern in adolescents worldwide. Given the complex interrelations between metabolic risk (MR) and sociodemographic variables, the present study aims to examine the association between the presence of MR with sociodemographic characteristics (sex, skin color, residential area, and parental socioeconomic status) in adolescents from Southern Brazil. METHODS: Cross-sectional study conducted with 1,152 adolescents (507 males) aged between 12 and 17 years. MR was assessed using a continuous score (cMetS; sum of Z-scores of the following variables: waist circumference, systolic blood pressure (SBP), glucose, high-density lipoprotein cholesterol [HDL-C, inverse], triglycerides [TG], and estimated cardiorespiratory fitness [CRF, inverse]). Poisson regression was used to examine associations between sociodemographic variables with the dichotomized cMetS and separate metabolic variables. The results were expressed with prevalence ratios (PR) and 95% confidence intervals (CI). RESULTS: The presence of MR (evaluated by the cMetS) was observed in 8.7% of adolescents. Higher MR was less prevalent among non-white adolescents (PR: 0.96; 95% CI: 0.93; 0.99). Adolescents living in rural areas had a lower prevalence of the following metabolic variables; low HDL-C (PR: 0.95; 95% CI: 0.94; 0.97), elevated TG (PR: 0.95; 95% CI: 0.92; 0.99), elevated glucose (PR: 0.96; 95% CI: 0.95; 0.98), and low CRF levels (PR: 0.88; 95% CI: 0.85; 0.92). Whereas, SBP was higher in those living in rural areas (PR: 1.11; 95% CI: 1.05; 1.17). In girls, there was a higher prevalence of raised TG (PR: 1.06; 95% CI: 1.02; 1.10) and lower levels of CRF (PR: 1.20; 95% CI: 1.16; 1.24), but a lower prevalence of elevated glucose (PR: 0.97; 95% CI: 0.97; 0.99). CONCLUSION: Higher MR prevalence was lower in those self-reporting non-white skin color and selected MR factors were less prevalent in those living in rural areas. The identification of groups at higher MR is important for early prevention and monitoring strategies for both Type 2 diabetes and later cardiovascular disease. Future studies should be conducted to assess the socio-cultural aspects of the relationships between MR and socio-cultural and lifestyle variables.
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spelling pubmed-91616052022-06-03 Metabolic risk is associated with sociodemographic characteristics in adolescents from both rural and urban regions from southern Brazil de Souza, Sonimar Francisco de Castro Silveira, João Marques, Kelin Cristina Gaya, Anelise Reis Franke, Silvia Isabel Rech Renner, Jane Dagmar Pollo Hobkirk, James Philip Carroll, Sean Reuter, Cézane Priscila BMC Pediatr Research BACKGROUND: The prevalence of several cardiovascular metabolic disorders are increasingly cause for concern in adolescents worldwide. Given the complex interrelations between metabolic risk (MR) and sociodemographic variables, the present study aims to examine the association between the presence of MR with sociodemographic characteristics (sex, skin color, residential area, and parental socioeconomic status) in adolescents from Southern Brazil. METHODS: Cross-sectional study conducted with 1,152 adolescents (507 males) aged between 12 and 17 years. MR was assessed using a continuous score (cMetS; sum of Z-scores of the following variables: waist circumference, systolic blood pressure (SBP), glucose, high-density lipoprotein cholesterol [HDL-C, inverse], triglycerides [TG], and estimated cardiorespiratory fitness [CRF, inverse]). Poisson regression was used to examine associations between sociodemographic variables with the dichotomized cMetS and separate metabolic variables. The results were expressed with prevalence ratios (PR) and 95% confidence intervals (CI). RESULTS: The presence of MR (evaluated by the cMetS) was observed in 8.7% of adolescents. Higher MR was less prevalent among non-white adolescents (PR: 0.96; 95% CI: 0.93; 0.99). Adolescents living in rural areas had a lower prevalence of the following metabolic variables; low HDL-C (PR: 0.95; 95% CI: 0.94; 0.97), elevated TG (PR: 0.95; 95% CI: 0.92; 0.99), elevated glucose (PR: 0.96; 95% CI: 0.95; 0.98), and low CRF levels (PR: 0.88; 95% CI: 0.85; 0.92). Whereas, SBP was higher in those living in rural areas (PR: 1.11; 95% CI: 1.05; 1.17). In girls, there was a higher prevalence of raised TG (PR: 1.06; 95% CI: 1.02; 1.10) and lower levels of CRF (PR: 1.20; 95% CI: 1.16; 1.24), but a lower prevalence of elevated glucose (PR: 0.97; 95% CI: 0.97; 0.99). CONCLUSION: Higher MR prevalence was lower in those self-reporting non-white skin color and selected MR factors were less prevalent in those living in rural areas. The identification of groups at higher MR is important for early prevention and monitoring strategies for both Type 2 diabetes and later cardiovascular disease. Future studies should be conducted to assess the socio-cultural aspects of the relationships between MR and socio-cultural and lifestyle variables. BioMed Central 2022-06-02 /pmc/articles/PMC9161605/ /pubmed/35655186 http://dx.doi.org/10.1186/s12887-022-03386-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
de Souza, Sonimar
Francisco de Castro Silveira, João
Marques, Kelin Cristina
Gaya, Anelise Reis
Franke, Silvia Isabel Rech
Renner, Jane Dagmar Pollo
Hobkirk, James Philip
Carroll, Sean
Reuter, Cézane Priscila
Metabolic risk is associated with sociodemographic characteristics in adolescents from both rural and urban regions from southern Brazil
title Metabolic risk is associated with sociodemographic characteristics in adolescents from both rural and urban regions from southern Brazil
title_full Metabolic risk is associated with sociodemographic characteristics in adolescents from both rural and urban regions from southern Brazil
title_fullStr Metabolic risk is associated with sociodemographic characteristics in adolescents from both rural and urban regions from southern Brazil
title_full_unstemmed Metabolic risk is associated with sociodemographic characteristics in adolescents from both rural and urban regions from southern Brazil
title_short Metabolic risk is associated with sociodemographic characteristics in adolescents from both rural and urban regions from southern Brazil
title_sort metabolic risk is associated with sociodemographic characteristics in adolescents from both rural and urban regions from southern brazil
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161605/
https://www.ncbi.nlm.nih.gov/pubmed/35655186
http://dx.doi.org/10.1186/s12887-022-03386-z
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